Quantitative analysis of professional basketball: A qualitative discussion

Pub Date : 2024-01-08 DOI:10.3233/jsa-220713
Yukun Zhou, Tianyi Li
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Abstract

Quantitative analysis of professional basketball become an attractive field for experienced data analysts, and the recent availability of high-resolution datasets pushes data-driven basketball analytics to a higher degree. We present a qualitative discussion on quantitative professional basketball. We propose and discuss the dimensions, the levels of granularity, and the types of tasks in quantitative basketball. We review key literature in the past two decades and map them into the proposed qualitative framework, with an evolutionary perspective and an emphasis on recent advances. A list of questions around professional basketball that could be approached with quantitative tools is displayed, pointing to directions for future research. We touch on the new landscapes of virtual basketball at enriching the space for quantitative analysis. This report serves as a qualitative primer for quantitative analysis of professional basketball, exhibiting the growing prospect of the promising research area.
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职业篮球的定量分析:定性讨论
对于经验丰富的数据分析师来说,职业篮球的定量分析已成为一个颇具吸引力的领域,而近年来高分辨率数据集的出现则将数据驱动的篮球分析推向了更高的层次。我们对职业篮球的定量分析进行了定性讨论。我们提出并讨论了定量篮球的维度、粒度级别和任务类型。我们回顾了过去二十年的重要文献,并将其映射到所提出的定性框架中,以演进的视角并强调近期的进展。我们列出了可以用定量工具解决的职业篮球相关问题,为未来研究指明了方向。我们探讨了虚拟篮球的新格局,以丰富定量分析的空间。本报告是职业篮球定量分析的定性入门指南,展示了这一前景广阔的研究领域日益增长的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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